
Daniel Marbach
47 posts

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Proud of our @DR_E_A_M Challenge paper dissecting methods to identify disease modules in molecular networks nature.com/articles/s4159…
Joint work of >400 participants, data providers and organizers... collaborative science at its best, honored to be part!
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This @DR_E_A_M challenge compares 75 methods for the identification of disease modules from network data. Users will learn about practical guidelines for how to choose a method and about benchmarks for the analysis.
nature.com/articles/s4159…

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nature.com/articles/s4159… Lesson #5: Network modules reveal core disease genes and pathways.
While 1000s of genes may show disease association in GWAS, much more specific disease modules comprising only dozens of genes can be identified within networks.

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nature.com/articles/s4159… Lesson #4: First, identify modules in each network individually, without merging them.
Methods attempting to reveal integrated modules across networks failed to significantly improve predictions, likely because our networks were not sufficiently related.
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Proud of our @DR_E_A_M Challenge paper dissecting methods to identify disease modules in molecular networks nature.com/articles/s4159…
Joint work of >400 participants, data providers and organizers... collaborative science at its best, honored to be part!
English
Daniel Marbach retweetledi
Daniel Marbach retweetledi

Provided unpublished molecular networks by different collaborators were essential success of our @DR_E_A_M challenge on Disease Module Identification. 👏👏👏 twitter.com/sysbiomed/stat…
Saez-Rodriguez Group@saezlab
Choobdar et al. - Disease Module Identification @DR_E_A_M Challenge outcome w. help from us & use of @omnipathdb biorxiv.org/content/early/…
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Daniel Marbach retweetledi

Fantastic @DR_E_A_M preprint describing results of the disease network module identification challenge:
biorxiv.org/content/early/…
#bioinformatics #machinelearning

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Daniel Marbach retweetledi

Choobdar et al. - Disease Module Identification @DR_E_A_M Challenge outcome w. help from us & use of @omnipathdb biorxiv.org/content/early/…
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Daniel Marbach retweetledi

An interesting outcome of Disease Module Identification DREAM Challenge. lnkd.in/dzT7Zsj lnkd.in/dyDzUY4
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Daniel Marbach retweetledi

When crowd-surfed molecular networks are married with GWAS we can have a high-resolution glimpse into disease biology twitter.com/danmarbach/sta…
Daniel Marbach@danmarbach
Our latest preprint @DR_E_A_M: Open Community Challenge Reveals Molecular Network Modules with Key Roles in Diseases biorxiv.org/content/early/…
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Daniel Marbach retweetledi

Our #dreamchallenge paper will be soon submitted to @CellCellPress. Awsome internatinal collaboration. #MachineLearning #NetworkScience#Biologicaldata twitter.com/danmarbach/sta…
Daniel Marbach@danmarbach
Our latest preprint @DR_E_A_M: Open Community Challenge Reveals Molecular Network Modules with Key Roles in Diseases biorxiv.org/content/early/…
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Daniel Marbach retweetledi

The paper of the DREAM Challenge on molecular network modules is on bioarxiv. Proud to be part of the DREAM Team! biorxiv.org/content/early/…
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Daniel Marbach retweetledi

Dream Challenge - Disease Module Identification preprint is out. Proud of our students who contributed to this effort @BeethikaT @karthikalam @karthikraman @ravi_iitm @IBSE_IITM @rbc_dsai_iitm @iitmadras twitter.com/danmarbach/sta…
Daniel Marbach@danmarbach
Our latest preprint @DR_E_A_M: Open Community Challenge Reveals Molecular Network Modules with Key Roles in Diseases biorxiv.org/content/early/…
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Daniel Marbach retweetledi

Glad to be part of the DREAM Consortium for the contribution titled "Open Community Challenge Reveals Molecular Network Modules with Key Roles
in Diseases"
biorxiv.org/content/early/…
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Our latest preprint @DR_E_A_M:
Open Community Challenge Reveals Molecular Network Modules with Key Roles in Diseases
biorxiv.org/content/early/…

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@humancellatlas funded by #CZI. To know more than press release, I recommend these talks, #compbio will be key: youtube.com/channel/UCK7wB…
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